SG
Sayan Ghosh
Pacific Northwest National Laboratory, Washington State University, University of Houston
About
My research interests are broadly in the development of high-level programming models, application of standardized parallel programming models (such as MPI and OpenMP) for building application kernels, performance modeling/analysis and proxy application driven co-design. I am particularly interested in the systems aspect while constructing graph application kernels (such as clustering, triangle counting and matching) on HPC systems.
Employment
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Pacific Northwest National Laboratory Computer Scientist2019 - Present
Education
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Washington State University PhD2015 - 2019
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University of Houston Masters2010 - 2012
Projects & Funding
Projects & funding information is unavailable.
Publications (58)
- Rudder: Steering Prefetching in Distributed GNN Training using LLM Agents Save
- Concepts for Designing Modern C++ Interfaces for MPI Save
- OCEAN: Open-source CXL Emulation at Hyperscale Architecture and Networking Save
- Analyzing inference workloads for spatiotemporal modeling Save
- Analyzing inference workloads for spatiotemporal modeling Save
- Studying CPU and memory utilization of applications on Fujitsu A64FX and Nvidia Grace Superchip Save
- MassiveGNN: Efficient Training via Prefetching for Massively Connected Distributed Graphs Save
- Impact of Write-Allocate Elimination on Fujitsu A64FX Save
- Graph Analytics on Jellyfish topology Save
- Final Report for CHESS: Cloud, High-Performance Computing, and Edge for Science and Security Save